Style Matching Model-Based Recommend System for Online Shopping
In order to enrich the recommendation of e-commerce functionality and optimize the user experience of online shopping, a new. style matching model-based recommend method of e-commerce was proposed. The Content-Based Image Retrieval(CB1R) technology was used to extract the image feature of color, texture and shape of prodact, calculated the commodity cluster, which have the similar feature of image content, then was applied to the style matching model, recommend to the user in accordance with the user’s cognitive style. The style matching modebased recommendation engine was developed, and integrated into the e-commerce recommend syst em to help users complete the cognitive of style and guide the online shopping. Finally, a shoe buying recommend system was developed to verify the theory.
E-commerce Image Retrieval Recommend system Style matching model
Guannan Zhao Shijian Luo Ji He
College of Computer Science and Technology Zhejiang University Hangzhou, Zhejiang Province 310027, China
国际会议
温州
英文
1995-1999
2009-11-26（万方平台首次上网日期，不代表论文的发表时间）